91 citations · 188 across the 18 of their papers we have counts for
21 papers
HiTZ@Antidote: Argumentation-driven Explainable Artificial Intelligence for Digital Medicine
Rodrigo Agerri, Iñigo Alonso, Aitziber Atutxa +9
Providing high quality explanations for AI predictions based on machine learning is a challenging and complex task. To work well it requires, among other factors: selecting a prope…
A Modular Approach for Multilingual Timex Detection and Normalization using Deep Learning and Grammar-based methods
Nayla Escribano, German Rigau, Rodrigo Agerri
Detecting and normalizing temporal expressions is an essential step for many NLP tasks. While a variety of methods have been proposed for detection, best normalization approaches r…
On the Role of Morphological Information for Contextual Lemmatization
Olia Toporkov, Rodrigo Agerri
Lemmatization is a natural language processing (NLP) task which consists of producing, from a given inflected word, its canonical form or lemma. Lemmatization is one of the basic t…
Cross-lingual Argument Mining in the Medical Domain
Anar Yeginbergen, Rodrigo Agerri
Nowadays the medical domain is receiving more and more attention in applications involving Artificial Intelligence as clinicians decision-making is increasingly dependent on dealin…
T-Projection: High Quality Annotation Projection for Sequence Labeling Tasks
Iker García-Ferrero, Rodrigo Agerri, German Rigau
In the absence of readily available labeled data for a given sequence labeling task and language, annotation projection has been proposed as one of the possible strategies to autom…
Lessons learned from the evaluation of Spanish Language Models
Rodrigo Agerri, Eneko Agirre
Given the impact of language models on the field of Natural Language Processing, a number of Spanish encoder-only masked language models (aka BERTs) have been trained and released.…